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Jaya Soorya User

@jayasooryauser

Message

I build production LLM and RAG systems that improve document compliance accuracy at scale.

India

Message

I'm building production document intelligence systems at Manthhan Software, fine-tuning SLMs and BERT-family models with LoRA, QLoRA, and PEFT for classification and structured extraction.

I own a RAG-based compliance checking system using AWS Bedrock embeddings, vector search, and LLM reasoning that achieves 94% compliance detection accuracy across more than 100,000 enterprise document pages. I also design deduplicated, multi-stage document workflows orchestrated with Prefect and deployed through AWS SageMaker, MLflow, Docker, and CI/CD.

Previously, I improved document extraction accuracy from 73% to 94%, built multimodal computer-vision pipelines that reduced manual review work by 40%, and led award-winning AI projects in edge intruder detection and EV energy optimization. My work has been published through IEEE and Taylor & Francis.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer - I

Current

Manthhan Software Pvt. Ltd.

Jul 2026 - Present (2 months)

Fine-tuned SLMs and BERT-family models using LoRA, QLoRA, and PEFT for document classification and extraction. Developed a RAG-based compliance checking system achieving 94% accuracy across vendor bid documents.

LoRAs QLoRA PEFT BERT RAG AWS Sagemaker MLFlow Docker Prefect MongoDB Minio CI CD Git Model Compression

Education

Degrees, certifications, and relevant coursework

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Bachelor of Technology, Computer Science and Engineering (AI & ML)

2022 - 2026

Grade: 8.9/10

Pursued a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, achieving a GPA of 8.9/10.